Senior Research Associate- Data Quality Review- Arusha

Alliance of Bioversity International and CIAT

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Application deadline in 8 days: Wednesday 26 Jun 2024 at 13:50 UTC

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Job Description


The Alliance of Bioversity International & CIAT delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives. Alliance solutions address the global crises of malnutrition, climate change, biodiversity loss, and environmental degradation.

The Alliance works with local, national, and multinational partners across Sub Saharan Africa, Latin America and the Caribbean and Asia, and with public and private sectors. The Alliance is part of CGIAR, a global research partnership for a food-secure future, dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services.

Background of the position

The Alliance of Bioversity International and CIAT have initiated a project, titled Artemis. Artemis is developing AI technology to enable on-farm breeding. Crop breeding is one of the foundations of agriculture, under the current breeding systems a common assumption is that it takes 10 years to develop a new variety. Given the pace of climate change this timeframe is no longer viable. New approaches are needed to speed up the breeding cycle and enable a greater synchrony between plant breeding and on-farm conditions, shifting breeding from a majority on-station to majority on-farm process. Artemis is addressing this issue by leveraging the power of technology to enable breeding programs with a new generation of AI-powered and smartphone-deployable tools. The principal technology is computer vision phenotyping, with explorations into multimodal data that integrates speech and text to actively integrate farmers into the plant improvement process. Artemis is currently in the second investment phase, having been featured recently in Reuters.

The Senior Research Associate will be responsible for ensuring the accuracy, integrity, and reliability of data collected within the project. They will be responsible for conducting comprehensive data quality assessments, identifying issues or discrepancies specific to phenotypic data collection, and implementing strategies to improve data quality.

Key duties & responsibilities

· Conduct regular data quality assessments to identify gaps, errors, and inconsistencies in phenotyping data collection, storage, and reporting processes. · Identify root causes of data quality issues related to phenotyping and working with stakeholders to implement corrective actions and process improvements. · Develop and implement data quality standards, protocols, and guidelines specifically tailored to phenotyping data. · Collaborate with cross-functional teams, such as researchers and data scientists, to establish data quality goals, metrics, and performance indicators. · Provide training and support to staff members on data quality principles, procedures, and tools specific to phenotyping · Work with the user research group to better understand breeding and agronomic process flows as well as iterative testing of app model development

### Requirements

· Master's and or Bachelor’s degree in Agriculture, Plant Sciences, Data Science, or a related field. · Strong analytical and quantitative skills with experience in data analysis, data profiling, and data quality assessment, particularly in the domain of plant phenotyping. · Experience with data cleansing, transformation, and validation techniques specific to phenotypic data. · Knowledge of statistical analysis methods and tools for data quality assessment in the agricultural domain. · Familiarity with data annotation tools and platforms, such as Roboflow or Label studio. · Excellent problem-solving skills and attention to detail, particularly in relation to phenotypic data. · Strong communication and collaboration skills, with the ability to work effectively across teams and stakeholders in the agricultural and research fields. · Previous Solid understanding of data management concepts, including data governance, data quality frameworks, and data lifecycle management · Proficiency in English

Terms of employment

This is a nationally recruited position based in Arusha, Tanzania. The initial contract will be for one year subject to a probation period of three months and is renewable depending on performance and availability of resources. This position is graded at BG07 level in a scale of BG01 to BG14 (BG14 being the highest level according to the Alliance job classification framework policy). We offer a competitive salary and excellent benefits including but not limited to insurance, retirement plan, staff training and development, paid time off and flexible working arrangements.

The Alliance Bioversity-CIAT is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation, contributes to our excellence, and is critical for our mission. Recruiting and mentoring staff to create an inclusive organization that reflects our global character is a priority. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability statuses, sexual orientations, marital status, and gender identities. Female candidates are strongly encouraged to apply.


Applicants are invited to visit to get full details of the position and to submit their applications. Applications MUST include reference number RFPxxxxx – Senior Research Associate as the position applied for. Cover letter and CV should be saved as one document using the candidate’s last name, first name for ease of sorting. The Alliance collects and process personal data in accordance with applicable data protection laws.

Applications closing date: 26th June 2024

Please note that email applications will not be considered.

Only short-listed candidates will be contacted.

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